StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – Santa Monica, CA or Aliso Viejo, CA About the team: Our Audience Intelligence crew is a band of data-obsessed engineers, ML specialists, and product thinkers who refuse to settle for fragmented customer signals. We’re architecting the unified identity graph and feature platform that gives every team at StubHub a near-real time, 360° view of each fan. That way decisions are powered by facts, not hunches. In short, we turn noisy clickstreams into high-fidelity fuel for personalization at scale. The challenge we’re cracking: today, user data is scattered across devices, sessions, and tables. We’re building the pipelines, identity resolution, and enrichment layers that stitch it all together, update it in near-real time, and expose it as clean, versioned features any model or campaign can trust. When we’re done, marketing tech, ranking, and experimentation teams will target with surgical precision instead of a one size fits all experience. Because a message for everyone is a message for no one.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees